Provided consultation on a spectrum of blockchain-based projects.Delivered end-to-end Dapps with blockchain protocol development, tokenomics, smart contract development and web3 integrations.Conducted various third-party smart contract audits.

Smart Finance aimed to bring a composable blockchain experience, providing a gas-efficient cross-chain Dex.Some of the achievements:1. UAW: 4.5k+2. Total transactions: 8.5k+3. Transaction Volume: $1.3M+4. 2885 NFT holders with over 3756 AVAX trading volume raking 24 amongst top NFT projects on avalanche5. 30k+ community6. Featured DeFi panelist at Polycon 2023

● Project lead for the design of quantum random generator which is to be deployed in the current QKD system; the data capture module uses softcore as the top-level subsystem and the driver code for the same is implemented in C++; the bit generation module is based on custom logic and ARM cortex A53 based quad-core processing system and the drivers for the same will be developed in embedded Linux; the system incorporates IPs such as I2C, SPI, UART, DMA, PHY, SATA, Aurora for datatransmission, custom logic for data capture, and hash DRBG algorithm in FPGA modules for thegeneration of 1Gbps quantum random bits● Theoretical modeling and design of lattice-based NTRUHPS post-quantum cryptography algorithm; estimated the time performance of the algorithm in C++ and AVX2 optimized implementations; the build environment was set up in linux and utilized gcc toolchain; the module level implementation of the model was done in matlab● Data-analysis automation script: the script was made in python3 and completely replaces the manual work removing the human estimation errors from the results; the script is used in post processing of the captured time stamps to estimate the quantum bit error rate;● Electrical modelling of transient capacitive behaviour of single photon detectors; used matlab script to generate gating sinusoidal signal and simulated the model in Ltspice, the results were then processed again in matlab; the model helped in quantifying the dead time of SPDs which helped in improved data rate of the QKD keys● Worked on laser driver circuit, for the control and fine tuning of the spectral linewidth, using current and temperature sensitivity of the laser, the aim was to improve the Extinction Ratio by reducing insertion losses;

● Worked on quantum level dynamics of single-frequency lasers and their application in Quantum Key Distribution (QKD)● Researched on the effects of temperature variations on the spectral linewidth of distributed feedback lasers

-Attended the Qiskit Global Summer School, on Quantum Computation and Devices - organized by IBM Quantum. Learned about many intricacies of building a Quantum system, right from basic mathematics to practical implementation.-A wide spctrum of the field was introduced, from Quantum Information Theory, to Quantum Algorithms and Error-Correction, to Superconducting qubits.-Performed the simulations, lab work in qiskit library, based on python.

1. Power Distribution Module (Nov 2017 - Feb 2018)• Designed semiconductor based Power Distribution System, also incorporating protection system for various LV components • Performed software simulations, physical verification, testing and final PCB design 2. Electronic Gear Control Unit (Dec 2017 - June 2018)• Developed GCU based on 8-bit ATMEGA32 AVR microcontroller along with on-board CAN integration• System design, driver development, along with verification and integration with other sub-systems3. Driver Assistance Interface (Mar - Aug 2018)• Driver Assisting Electronics with Live Data Display based on ARM Cortex M3 microprocessor • Software Design, driver development, along with verification and integration with other sub-systems

1. Worked on fully configurable firmware for ARM M4F based MCU; developed I2C, SPI drivers for sensors and BLE stack for low power wireless connectivity2. Hands on experience in debugging using SWD protocol, GDB server and Pyocd tools3. Experimented with RTOS firmware development on ARM cortex M33 based MCU4. Developed a unit test-bench on raspberry pi for the EMG sensor module using I2C and SPI protocols5. Coded an automation script in python, which accelerated post-processing time; programmed the module in Embedded C6. Designed EMG sensor module based on 24 bit ADC for Electromyography (EMG) implementation● Performed simulations for the power supply and filters, and outlined the PCB using Eagle CAD